The main value of the solution is to simplify and make easy property search without additional email, letters, or long calls agents. Just a few clicks and the user gets the latest and hottest offers. Moreover, the chatbot allows to enter their own criteria and helps to choose a property that suits you. This could be for example, by budget or amount of bedrooms. For any help, the chatbot quickly connects a user to a live agent and he/she will hold a conversation. When the user is ready to buy or sell a property, our chatbot will offer to make an appointment to move forward.
It is your personal pocket real estate agent that finds the best choice for you, 24/7!
Financial Benefits:
- Reducing internal staff costs. Chatbot takes the part of agents’ routine work
- Reducing of refuses during the search of appropriate property
- Increasing of refusals
- Increasing traffic to the agency website
Goals:
- Simplification of property search
- Reducing of live conversations with a live agent. It leads to reducing agents’ daily workload
- Quick start. Receiving the first online order in 15 minutes after the connection
- Creating a comprehensive guide for choosing the right property
- 24/7 service
Features:
- Embedded property search with criteria price and number of rooms
- Ability to make an appointment with realtors
Technologies:
- Node.js is the server-side, asynchronous, event-driven runtime environment, that allows us to build a server-side application using javascript syntax with the most recent ES standards support.
- Smooch.io connects business software to all the world’s messaging channels for more human customer experience.
- Amazon Elastic Compute Cloud is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.
- Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multiregion, multimaster database with built-in security, backup and restores, and in-memory caching for internet-scale applications.